How to implement license plate recognition in Python using Opencv?

Question

Automation

Friends, the diploma is on fire! I can't connect everything in any way, make it a physical implementation ... What is the point - access control to the fleet. Principle of operation: a car drives up to the entrance, the camera determines its number and, if this number is in the database, a signal is given to open the barrier. As soon as the car has driven in, another camera captures its entry and gives a signal to close the barrier.
There are available - barrier CAME-G4000, barrier controller - STS-407K, 2 ip-cameras. But there is no software for recognizing car numbers with a database.
I was offered to buy Raspberry and install Python there and deploy Opencv. But I don't understand the next steps - how to deploy, how to connect a camera to it programmatically, and do I need to connect a controller to it? I'm new to this and don't understand much.
I ask you for help friends
If you have any questions - ask

Answer 1

You need to break the task into subtasks:
OCR: just use Tesseract
Search: car number recognition opencv

Answer 2

Number recognition on Rasberry is unlikely to succeed.
I now have a server with license plate recognition (3 cameras) running. The Core i7-3770 processor is 40-50% loaded.
And no offense, but this is not a topic for a diploma. Such software is very expensive (from 70 tr per channel) precisely because it uses harsh obscenities and few people can write it correctly.